Low AI Risk Average

General internal medicine physicians

SOC Code: 29-1216

General internal medicine physicians carries a 19% AI exposure score (Low automation risk), with a median annual wage of $236,350 and +3.3% projected employment growth from 2024 to 2034 (BLS), affecting approximately 73,200 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
19% Low

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+3.3%
2024–2034 (BLS)
+2,400 jobs
Median Annual Wage
$236,350
BLS May 2024
How wage figures are sourced →
The verdict

At 19% AI exposure, General internal medicine physicians sits 18 points below the 37.2% average across 832 U.S. occupations - more exposed than 5% of them. It ranks among the more AI-resilient roles in the dataset.

19%
AI exposure
5th
percentile
+3.3%
Job growth 2024–34
$236,350
Median wage

Where General internal medicine physicians sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

AI exposure distribution - General internal medicine physicians marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 95% by AI exposure Higher AI exposure than 5% of all 832 occupations.

General internal medicine physicians has ai exposure of 19%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

General internal medicine physicians vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. General internal medicine physicians is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk8.4%22.5%36.5%50.5%64.5%0%10.5%21.1%31.6%42.1%AI exposure (%) →Projected growth (%) →General internal medRegistered nursesLicensed practicalPharmacy techniciansClinical laboratory PhysiciansPharmacistsNurse practitionersPhysical therapistsRadiologic technologDental hygienistsMedical records spec

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

73,200
Employment 2024
75,600
Projected 2034
+3.3%
Change (%)
+2,400
Change (jobs)

Occupation Insight

General internal medicine physicians (SOC 29-1216) carries an AI exposure score of 19%, placing it in the Low automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 73,200 workers in this occupation in 2024, and projects a +3.3% change through 2034 - modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $236,350, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Doctoral or professional degree, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes General internal medicine physicians. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
Doctoral or professional degree
Work Experience
None
On-the-Job Training
Internship/residency

Top Tasks (O*NET)

  1. 1. Analyze records, reports, test results, or examination information to diagnose medical condition of patient.
  2. 2. Treat internal disorders, such as hypertension, heart disease, diabetes, or problems of the lung, brain, kidney, or gastrointestinal tract.
  3. 3. Prescribe or administer medication, therapy, and other specialized medical care to treat or prevent illness, disease, or injury.
  4. 4. Manage and treat common health problems, such as infections, influenza or pneumonia, as well as serious, chronic, and complex illnesses, in adolescents, adults, and the elderly.
  5. 5. Provide and manage long-term, comprehensive medical care, including diagnosis and nonsurgical treatment of diseases, for adult patients in an office or hospital.
  6. 6. Explain procedures and discuss test results or prescribed treatments with patients.
  7. 7. Advise patients and community members concerning diet, activity, hygiene, and disease prevention.
  8. 8. Make diagnoses when different illnesses occur together or in situations where the diagnosis may be obscure.
  9. 9. Refer patient to medical specialist or other practitioner when necessary.
  10. 10. Monitor patients' conditions and progress and reevaluate treatments as necessary.

Key Skills Required

  • Reading Comprehension
  • Active Listening
  • Writing
  • Speaking
  • Science
  • Critical Thinking
  • Social Perceptiveness
  • Complex Problem Solving
  • Judgment and Decision Making
  • Active Learning

Knowledge Areas

  • Medicine and Dentistry
  • Biology
  • Therapy and Counseling
  • Psychology
  • Education and Training
  • English Language
  • Administration and Management
  • Customer and Personal Service
  • Computers and Electronics
  • Mathematics

Frequently Asked Questions

Will AI replace General internal medicine physicians?

General internal medicine physicians has an AI exposure score of 19%, indicating a low level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for General internal medicine physicians?

According to BLS Employment Projections 2024-2034, General internal medicine physicians is projected to grow by 3.3% over the decade. Current employment stands at approximately 73,200 workers.

What skills are needed for General internal medicine physicians?

Key skills for General internal medicine physicians include Reading Comprehension, Active Listening, Writing, and others. Typical entry-level education is Doctoral or professional degree.

How much do General internal medicine physicians earn?

The median annual wage for General internal medicine physicians is $236,350, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for General internal medicine physicians?

The typical entry-level education for General internal medicine physicians is Doctoral or professional degree. Employers generally expect None of related work experience. On-the-job training typically involves Internship/residency. Requirements can vary by employer and specialization.

Which companies employ General internal medicine physicians?

General internal medicine physicians roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

0.9
out of 5.0

Low automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.